Kenvue is currently recruiting for a
Manager \- Advance Analytics**What we do**
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands \- including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND\-AID® that you already know and love. Science is our passion; care is our talent.
Our global team is \~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours.
Senior Manager \- Forecasting \& Analytics**Location:**
Asia Pacific, India, Karnataka, Bangalore**Work Location:**
Hybrid**What you will do**
The **Manager – Advanced Analytics** will lead the **design, development, and scaling of advanced analytics solutions** that drive enterprise decision\-making across forecasting, machine learning, and agentic AI use cases within the broader analytics and decision intelligence ecosystem.
This role requires strong hands\-on experience in **advanced forecasting, machine learning, and modern AI approaches including agentic AI**. The manager will be accountable for translating business problems into scalable analytical products, taking solutions from **problem framing and model design MVP production deployment**, while driving measurable business impact through predictive, prescriptive, and intelligent automation capabilities.
- *Advanced Forecasting, ML \& Agentic AI**
- Lead the design and deployment of **advanced forecasting solutions** across demand, supply, commercial, or operational use cases using statistical, machine learning, and hybrid modeling approaches.
- Build and productionize **machine learning models** for prediction, classification, segmentation, anomaly detection, and decision support.
- Drive the adoption of **agentic AI capabilities** to automate insight generation, exception triaging, scenario evaluation, and decision workflows.
- Define fit\-for\-purpose approaches that combine **forecasting, ML, optimization, and GenAI/agentic patterns** based on business value, scalability, and explainability.
- Apply **human\-in\-the\-loop, governance, and monitoring practices** to ensure reliability, auditability, and responsible AI usage.
- *Advanced Analytics \& Modelling Foundations**
- Develop and review **advanced forecasting, predictive, and causal models** using time\-series methods, machine learning, and deep learning techniques.
- Establish robust practices for **feature engineering, model evaluation, backtesting, accuracy measurement, and model monitoring**.
- Translate complex analytical outputs into **business recommendations and executive\-ready narratives** that support decision\-making.
- *Architecture, Platform \& Deployment**
- Deploy and operationalize **forecasting, ML, and agentic AI solutions** on enterprise cloud platforms such as **Azure**, including model training, versioning, deployment, and monitoring.
- Integrate analytical solutions with **enterprise data platforms, business applications, and decision workflows**.
- Define **reusable modeling, deployment, and orchestration standards** to improve scalability and speed to value.
- Ensure solutions meet enterprise expectations for **security, reliability, scalability, and Responsible AI compliance**
- *Delivery \& Stakeholder Leadership**
- Own delivery of advanced analytics initiatives from **use\-case identification and experimentation MVP production**.
- Partner with Product, IT, Data Engineering, and Business leaders to identify high\-impact opportunities and drive adoption.
- Translate analytical and AI outputs into **clear business actions, value stories, and executive\-ready recommendations**.
- *People \& Capability Leadership**
- Lead, mentor, and grow a team of analysts, data scientists, and ML practitioners.
- Build deep capability in **advanced forecasting, machine learning, experimentation, and agentic AI**.
- Drive technical design reviews, best practices, and cross\-team knowledge sharing.
- *Required Qualifications (Must‑Have)**
- Bachelor’s or Master’s degree in **Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or a related quantitative field**.
- **8–10 years** of experience in advanced analytics, data science, forecasting, or machine learning, with a strong record of production deployment.
- Hands\-on experience in **advanced forecasting techniques**, including statistical, machine learning, and hybrid forecasting methods.
- Strong expertise in **machine learning, model evaluation, experimentation, and analytical problem solving**.
- Exposure to or hands\-on experience with **agentic AI / GenAI\-enabled analytical workflows**, such as intelligent automation, insight generation, or decision support agents.
- Proficiency in **Python and SQL**, with experience building production\-grade analytics solutions.
- Experience deploying analytics or AI solutions on **Azure or comparable cloud platforms**.
- Proven experience leading teams and influencing cross\-functional and senior stakeholders.
- *Preferred (Still Valuable, Not Mandatory)**
- Experience with **demand forecasting, supply chain analytics, commercial analytics, or decision intelligence platforms**.
- Exposure to **optimization, causal AI, scenario modeling, or simulation\-based decisioning**.
- Familiarity with **MLOps, Responsible AI, risk controls, and governance** for AI/GenAI systems.
- Experience working in **consumer goods, supply chain, operations, finance, or commercial analytics** domains.
- Advanced analytics solutions deployed in production with measurable business adoption and value realization.
- Improved **forecast accuracy, decision quality, and speed to insight** across key business workflows.
- Scalable use of **ML and agentic AI capabilities** across multiple business use cases.
- Strong uplift in team capability across **forecasting, advanced analytics, and intelligent automation**.
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.